This repository is dedicated to explore multiple fields related to Large Language Models (LLMs).
LLM-DaSCI is a repository aimed at developing artificial intelligence technologies, models, and methodologies, focusing on Large Language Models (LLMs). It encompasses multiple subdirectories, each aimed at a distinct work package of research or application. This structure allows for a clear overview of various fields related to LLMs and provides a practical space to explore them.
Below is an overview of the main directories in the repository, but more are under active development. Stay tuned for updates!
- Purpose: Investigate the use of LLMs to facilitate and promote the development of Crowd Decision Making models based Sentiment Analysis.
- Contents:
- Visual description of the evolution of the use of knowledge in Decision Making approaches.
- Python scripts demonstrating the use of LLMs in crowd decision making in five proposed scenarios.
- Purpose: Investigate the security of LLMs by analyzing the dynamic interplay between vulnerability exploitation and the development of corresponding mitigation mechanisms.
- Contents:
- Video demo of how H-Elena, an LLM Python coding assistant designed to exhibit virus-like behavior, works.
CC-By-NC-ND
Rosana Montes (rosana at ugr.es)
We appreciate your interest in the LLM-DaSCI repository. Thank you for helping us advance the field of Large Language Models.